Microsoft Technology Licensing, LLC

Textio, Inc.

Kieran Snyder

Yung-Shin Lin

Yaniv Feinberg

Shenghua Ye

Ryan M Cavalcante

Dimiter Georgiev

Tarek Mahmoud Sayed

Gerardo Villarreal Guzman

Jensen Michael Harris

Robert Emmett Kolba, Jr

Gerardo Vilarreal Guzman

Stephan Hoefnagels

Josh A Clow

Jonathan Ian Gordner

Nandini Bhattacharya

Colin Jeanne

Kenneth Parker

Jonathan Li

Alexander Allen

Tarek M M Sayed

Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.

Using machine learning to predict outcomes for documents

Architecture that generates a companion window in combination with a source application experience to enable the accomplishment of a side task yet not switch away from the context of the source application. The companion window experience is a window that is rendered proximate (e.g., beside) a user's source application experience, in a predictable location, and with a predictable user model for invocation and dismissal. The companion window allows the user to retain full visual context of the associated source application experience, while rendering activities that directly pertain to the source application experience or activities that allow the user to interact with two applications.

Companion window experience

Map service techniques are described. In an implementation, text is received from an application for processing by one or more linguistic services. Based on service properties of respective linguistic services that are relevant to the application, particular linguistic services are designated to be available for use by the application and one or more other linguistic services are obscured from the application. A communication is formed to communication the text to a designated linguistic service.

Map service

Script detection service techniques are described. In an implementation, a corpora of text is analyzed to determine which strings in the corpora of text are to be included in a targeted dictionary that is usable for language detection services. The targeted dictionary is populated with strings that are individually associated with a human language. The strings include individual text characters associated with values that correspond to a particular subset of values in a table that associates subsets of values with individual human writing systems.

Script detection service

Script detection service techniques are described. In an implementation, values representing individual text characters in a string of one or more text characters are identified to determine which human writing system is associated with the individual text characters. The values are compared to a table that associates subsets of values with individual human writing systems. The values are determined to be within a particular subset of values in the table that correspond to a particular human writing system. A particular human writing system is designated as associated with the string based on the values associated with the individual text characters in the string being within the particular subset of values that corresponds with the particular human writing system.

Map service techniques are described. In an implementation, one or more computer-readable media comprise instructions that are executable by a computer to recognize from text an action that is performable by a particular one of a plurality of webpages and parse a set of parameters from the text to be passed to the particular said webpage to cause the webpage to perform the action.

Language detection techniques are described. In implementation, a method comprises determining which human writing system is associated with text characters in a string based on values representing the text characters. When the values are associated with more than one human language, the string is compared with a targeted dictionary to identify a corresponding human language associated with the string. Linguistic services are designated to be available based on service properties of the linguistic services and based on the corresponding human language associated with the string.

Language detection service

Script detection service techniques are described. In an implementation, a determination is made as to which human writing system is associated with individual text characters in a string of one or more text characters based on values representing the individual text characters in the string. A particular human writing system is designated as associated with the string based on the values associated with the individual text characters in the string.

Language detection techniques are described. In implementation, a method comprises determining which human writing system is associated with text characters in a string based on values representing the text characters. When the values are associated with more than one human language, the string is compared with a targeted dictionary to identify a corresponding human language associated with the string.

Linguistic service platform techniques are described. In implementations, one or more computer-readable media comprise instructions that are executable by a computer to designate a linguistic service having a particular property responsive to an application program interface call specifying the property. Communication may be brokered between the linguistic service and the application so that communication occurs without the application directly communicating with the linguistic service.

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Seattle, WA, United States of America

Kieran Snyder